Dynamic game strategies of a two-stage remanufacturing closed-loop supply chain considering Big Data marketing, technological innovation and overconfidence

2020 ◽  
Vol 145 ◽  
pp. 106538 ◽  
Author(s):  
Zehua Xiang ◽  
Minli Xu
2021 ◽  
Vol 13 (16) ◽  
pp. 8725
Author(s):  
Jian Wang ◽  
Wenxuan Shao

In this paper, a closed-loop supply chain (CLSC) consisting of one manufacturer and one supplier is considered. The capacity of the manufacturer is limited, the manufacturer can increase capacity by investing in capacity, and there are different cooperation contracts among the supply chain members. This paper pushes collecting activities upstream, assumes that the collecting activity can be completed by the supplier, and accepts that there is cooperation between the members, which increases supplier involvement. Dynamic game models among CLSC members are formulated. The optimal decisions of pricing, capacity investment, and collecting channels of the CLSC members are obtained, and the impacts of some important factors, for example, the capacity investment cost coefficient and the cost-sharing factors, on optimal decisions are investigated. The results reveal that the supplier collecting mode performs better in some scenarios; therefore, the management enlightenment desired by the supplier can be obtained. Additionally, the coordination between the manufacturer and the supplier sometimes fails to increase the closed-loop supply chain’s sustainability, which is a finding quite different from some current research results.


2019 ◽  
Vol 274 (1) ◽  
pp. 91-107 ◽  
Author(s):  
Susana Baptista ◽  
Ana Paula Barbosa-Póvoa ◽  
Laureano F. Escudero ◽  
Maria Isabel Gomes ◽  
Celeste Pizarro

2020 ◽  
Vol 12 (4) ◽  
pp. 1685
Author(s):  
Deqing Ma ◽  
Jinsong Hu

This paper integrates the Internet service platform with big-data marketing into the dynamic closed-loop supply chain system as an independent game subject. Considering the reference price effect of consumers, this work constructs differential games among manufacturer, retailer and Internet service platform under three business models of independent, collaborative production and collaborative marketing. Using Bellman’s continuous dynamic programming theory, this work obtains the optimal feedback strategies of price and big-data marketing effort, brand goodwill, return rate of used products and corporate profits under the three business models. Comparing the three scenarios and analyzing the sensitivity of key exogenous parameters, it can be found that the involvement of Internet service platform has a crucial impact on the sustainable profitability of supply chain enterprises. Considering the reference price effect of consumers, enterprises should adopt different strategic alliances in different periods, which can also gain new development momentum in the context of data-driven marketing, achieve the improvement of the triple-bottom line of closed-loop supply chain and even reach a win-win situation for supply chain enterprises.


2021 ◽  
pp. 127165
Author(s):  
Behrooz Khorshidvand ◽  
Hamed Soleimani ◽  
Soheil Sibdari ◽  
Mir Mehdi Seyyed Esfahani

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